About the Role
Role details below.
Responsibilities
- Be an expert level engineer within the Dataiku Platform including Platform Automation, GenAI Capabilities, Plugin Development, maintenance & troubleshooting
- Be an expert level engineer within Snowflake for data engineering and security/governance features
- Build & maintain python & SQL based platform automation process
- Build & maintain data quality metrics & observability to help drive data quality standards
- Design data models for both short term and long term use cases to support data warehouse scalability
- Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency
- Build & maintain GenAI Platform platform solutions focused on security and governance for engineering delivery
- Build & maintain DataOps process for SDLC delivery
- Identify opportunities for improvements & optimization for greater scalability & delivery velocity
- Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables
- Perform root cause analysis on often complex errors to help ensure data pipeline availability
- Help drive technical & architectural decisions on the data platform including decisions on data architecture, data engineering processes, data quality frameworks, data access security & governance frameworks, DataOps processes & data consumption models
- Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration
- Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering
- Proactively drive innovation internally with dedicated innovation time & projects that aim to be transformational for either the platform, team or company as a whole
- Actively contribute to the expertise level and competencies of the EDA Team and participate in the creation and support of data development standards and best practices
Requirements
- 3+ years of relevant experience in Data Engineering / Data Platform Engineering
- Expertise in SQL & Python is a must
- Strong understanding of data architecture & data modeling concepts
- Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment
- Excellent analytical and creative problem-solving skills
- Exhibit confidence to ask questions to bring clarity, share ideas and challenge the norm
- Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies
- Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements
- Ability to manage multiple projects and time constraints simultaneously in a high trust remote environment
- Ability to wear multiple hats depending on the project with the focus
